Advait Gupta

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upvoted 4 papers about 1 month ago

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs

Paper • 2507.07996 • Published Jul 10 • 32

BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing

Paper • 2506.17450 • Published Jun 20 • 62

Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs

Paper • 2506.21656 • Published Jun 26 • 14

LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs

Paper • 2506.21862 • Published Jun 27 • 35

upvoted 3 papers about 2 months ago

Where to find Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test

Paper • 2506.21551 • Published Jun 26 • 28

FaSTA^*: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing

Paper • 2506.20911 • Published Jun 26 • 40

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency

Paper • 2506.08343 • Published Jun 10 • 49

upvoted a paper 3 months ago

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Paper • 2505.09568 • Published May 14 • 97

upvoted 6 papers 4 months ago

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Paper • 2504.15785 • Published Apr 22 • 19

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Paper • 2504.10514 • Published Apr 10 • 47

Towards Visual Text Grounding of Multimodal Large Language Model

Paper • 2504.04974 • Published Apr 7 • 16

C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing

Paper • 2504.07964 • Published Apr 10 • 61

Transformers without Normalization

Paper • 2503.10622 • Published Mar 13 • 168

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

Paper • 2504.06514 • Published Apr 9 • 39

upvoted 6 papers 5 months ago

RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints

Paper • 2503.16408 • Published Mar 20 • 41

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving

Paper • 2503.16905 • Published Mar 21 • 55

SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models

Paper • 2503.07605 • Published Mar 10 • 69

Unleashing Vecset Diffusion Model for Fast Shape Generation

Paper • 2503.16302 • Published Mar 20 • 44

R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts

Paper • 2502.20395 • Published Feb 27 • 47

R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Paper • 2503.05132 • Published Mar 7 • 58